10 results about "Condition-based maintenance" patented technology

A method for detecting and attributing the cause of anomalies within a cyber-physical system such as in avionics or vetronics network is disclosed. The method comprises monitoring, via at least one processor, data of one or more components within the avionics and vetronics network in real time; determining, via the at least one processor, one or more anomalies from the monitored data using a condition-based maintenance model and a cyber-defense model; determining, via the at least one processor, whether the one or more anomalies is related to a cascading fault using the condition-based maintenance model and the cyber-defense model; determining, via the at least one processor, the one or more anomalies corresponding to a component failure or an evidence of the cyberattack; and generating, via the at least one processor, one or more alerts for a user associated with the one or more anomalies.

A system for condition-based maintenance of an automated storage and retrieval system includes a framework structure with a rail system forming a three-dimensional storage grid structure for storing storage containers for storing items. The grid structure forms vertical storage columns each having a horizontal area defined by the size of an access opening between rails of the rail system that are arranged on the framework structure. The rail system provides available routes for container handling vehicles handling and transferring the storage containers to and from the storage columns. At least one container handling vehicle which has a container handling platform with a set of grippers for handling the storage containers. The grid structure includes one or more ports for extracting containers from the storage grid so that the storage containers can be picked and a service station for performing maintenance on the components of the storage and retrieval system. The system further includes a plurality of sensors configured to be attached to components of the storage and retrieval system for providing condition-based information linked to parts and components of the storage and retrieval system, a service regime manager configured to retrieve condition-based information from the plurality of sensors and create a service regime based on the condition-based information linked to parts and components of the storage and retrieval system and send the service regime to a local service station where condition-based maintenance is performed, and a central computer system. The central computer system is configured to: receive the condition-based information from the plurality of sensors and decide what information is to be sent to a global computer system that is part of the system for condition-based maintenance, and further sending only the information that can be of interest to other storage and retrieval systems. The global computer system is configured to receive the condition-based information from the central computer system and determine trends regarding component servicing or changing of components and further the global computer system transfers the information on the trend to the individual central computer system's service regime manager.

The invention provides a nuclear power equipment state sensing method and device, and the method comprises the steps: obtaining multi-modal sensor data from the operation process of nuclear power equipment, and features corresponding to the data of each modal sensor; inputting each feature into a pre-trained model to obtain a reference state of the nuclear power equipment; and determining the maintenance demand of the nuclear power equipment according to the reference state. Various information in the operation process of the nuclear power equipment can be comprehensively and accurately captured from multiple dimensions by acquiring the data of the multi-modal sensor and the corresponding characteristics of the multi-modal sensor. The pre-trained model learns by using a large amount of historical operation data, can identify characteristic modes which meet or do not meet the operation requirements of the nuclear power equipment, and can timely discover subtle changes of the state of the equipment and give an early warning at the early stage of a fault after the characteristics extracted in real time are input into the model. Maintenance requirements are determined according to the nuclear power equipment reference state output by the model, and traditional regular maintenance is converted into state-based maintenance.

In an example embodiment, a predictive system maintenance module is created based on machine learning. The predictive system maintenance module achieves an improvement in predicting condition-based maintenance decision-making through a cloud-based approach, using a wide variety of information. Factors that influence downtime loss are identified and a generalized loss function, known as the downtime loss function, is defined. A prediction model is then built based on a multi-step forecasting time series model. The prediction model is then used to forecast a window that minimizes downtime loss. The predictive maintenance module uses historical data to foresee when and how to implement the seamless upgrading at a proper time so that it could have minimum downtime loss on the customer.

A system and method for condition-based maintenance of an automated storage and retrieval system comprising a framework structure forming a three-dimensional storage grid structure for storing storage containers for storing items, a rail system arranged on the framework structure providing available routes for container handling vehicles handling and transferring the storage containers to and from storage columns, comprises at least one container handling vehicle having at least two sensors set up to report a condition of the rails of the rail system.

A system and method for condition-based maintenance of an automated storage and retrieval system, the system comprising: a skeletal structure with a rail system forming a three-dimensional storage grid structure for storing storage containers for storing items, the grid structure forming vertical storage columns each having a horizontal area defined by the size of the access openings between the rails, the rail system disposed on the skeletal structure, the rail system providing an available path for a container handling vehicle; at least one container handling vehicle, the grid structure comprising one or more ports for extracting containers from the storage grid so that they can be loaded; and an inspection station for performing maintenance on components of the storage and retrieval system.

A system, method, computer program product and software program product for status-based maintenance of ports (502) in an automated storage and retrieval system comprising a frame structure (100) having a track system and at least one container handling vehicle (201, 301), the invention relates to a frame structure (100) forming a three-dimensional storage grid structure (104) for storing storage containers (106) for storing articles, in which the grid structure (104) forms vertical storage columns (105), the horizontal area of each vertical storage column being defined by the dimensions of access openings (112) located between tracks of a track system (108) arranged on the frame structure (100), the track system provides an available route for the container handling vehicle (201) for handling and transferring the storage containers (106) to and from the storage column (105), the grid structure comprising one or more ports (502) for retrieving the containers (106) from the storage grid such that the containers can be selected, and wherein the automated storage and retrieval system is controlled by a central computer system (500), each port (502) comprises a computing device (504) connected to a sensor (501) arranged to monitor the component, and wherein sensor data from the sensor (501) is continuously received, stored, processed and analyzed, the sensor data comprising identification information corresponding to the component and component being monitored; comparing the sensor data with reference sensor data and identifying sensor data deviating from the reference sensor data; determining whether the deviation of the sensor data is above a preset level; sending data representing that the sensor data is above a preset level from a computing device (504) of the automated storage and retrieval system to a central computer system (500) of the automated storage and retrieval system; processing and analyzing, in the central computer system (500), data representing that the sensor data is above a preset level, and identifying corresponding components and parts; and initiating maintenance of the identified component or component based on the analysis in the central computer system (500).

A system (600) and method for status-based maintenance of an automated storage and retrieval system comprising a frame structure (100) forming a three-dimensional storage grid structure (104) for storing storage containers (106) for storing items, a guide rail system (108) arranged on the frame structure (100), a container handling vehicle (201) is provided for handling and transferring storage containers (106) to and from a storage column (105), comprising at least one container handling vehicle having at least two sensors arranged to report a status of a rail of a rail system (108).

A system (600) and method for condition-based maintenance of an automated storage and retrieval system, the automated storage and retrieval system comprising: a frame structure (100) forming a three-dimensional storage grid structure (104) for storing storage containers (106) for storing items, a rail system (108) arranged on the frame structure (100) to provide container handling vehicles (201) for handling and transferring storage containers (106) to and from a storage column (105), and at least one container handling vehicle having at least two sensors configured to report the status of rails of the rail system (108).

The monitoring and evaluation system of solar power generation is a system capable of real-time monitoring, checking, evaluating, processing, and analyzing the efficiency of solar power generation. This system enhances operational effectiveness by analyzing datasets through a structured and sequential in-depth analysis process, ensuring the accuracy and precision of the system, based on real-time circumstances. Additionally, the system features an automatic calibration process with virtual standard values, enabling data resets over time to obtain new datasets, thus ensuring greater accuracy and precision of the data collected. Furthermore, the system further comprises a condition-based maintenance system and an analysis function of the value of system losses referred to as the Loss Analysis, to predict potential future system losses. The purpose of this invention is to invent a real-time monitoring and evaluation system for solar power generation that works collaboratively with devices and utilizes artificial intelligence, employing various methods for monitoring and evaluating performance.